{
  "docId": "019dd923-5f69-752d-a9b7-52fdfce52241",
  "docSlug": "PbvH64rWnchbFAa1b6bS",
  "documentTitle": "See the 24-slide pitch deck a biotech startup used to sell investors on a new approach to AI in medicine and raise $110 million",
  "authorId": "Pitchdecks",
  "authorName": "Scipher Medicine",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.784,
  "pageNumber": 5,
  "pageCount": 24,
  "prevPage": 4,
  "nextPage": 6,
  "slideType": "problem_statement",
  "function": "frame_problem",
  "density": "dense",
  "nDataPoints": 9,
  "notes": "The chart uses bubble size to represent total spend, Y-axis for YOY trend, and X-axis for impact on total spend.",
  "elementsJson": [
    "action_title",
    "bubble_chart",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5f69-752d-a9b7-52fdfce52241/5",
  "deckHref": "/decks/019dd923-5f69-752d-a9b7-52fdfce52241",
  "deckJsonHref": "/decks/019dd923-5f69-752d-a9b7-52fdfce52241.json",
  "deckAnchorHref": "/decks/019dd923-5f69-752d-a9b7-52fdfce52241#slide-5",
  "components": [
    {
      "bbox": {
        "h": 0.7,
        "w": 0.8,
        "x": 0.1,
        "y": 0.15
      },
      "kind": "chart",
      "text": "Bubble chart comparing medical conditions by YOY Trend and Impact on Total Spend",
      "attrs": null,
      "subkind": "bubble",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b0fd7b3f-5a02-4dbf-ab9a-47c866c380bb",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.6,
        "x": 0.02,
        "y": 0.97
      },
      "kind": "disclaimer",
      "text": "Global Medicine Spending and Usage Trends. IQVIA Institute for Human Data Science. March 2020. The Personalized Medicine Report. PMC. 2017.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b6185e96-bdd2-4dce-995d-dab2fb774673",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Impact on Total Spend",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-a28b-77ea-9e9f-98bf605ab0e1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.15,
        "x": 0.08,
        "y": 0.85
      },
      "kind": "source-note",
      "text": "*Bubble size = Spend",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c0eea7c8-3a7b-491d-a1e0-c8e1272360b9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.9,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "Autoimmune disease is largest contributor to ineffective drug spend",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f55cdeac-40e6-495d-818a-0d089af28f4b",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Evidence Matrix",
      "slug": "evidence-matrix",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "6c65c96d-a981-4021-9e11-a3b80cb1d3e5",
      "evidence": "Autoimmune disease is largest contributor to ineffective drug spend",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 5,
      "from": 3,
      "beatId": "3e772005-8945-4ee8-bf02-5248e384ff2d",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Problem",
      "beatSlug": "problem-agitate-solution-problem-identify-pain",
      "evidence": "Slides 3-5 clearly state the problem",
      "position": 0,
      "confidence": 0.9,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    },
    {
      "to": 5,
      "from": 5,
      "beatId": "98d6f2ec-d481-4f8e-af3e-e40cb250f9d6",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Agitate",
      "beatSlug": "problem-agitate-solution-agitate-make-it-worse",
      "evidence": "Slide 5 emphasizes the size of the problem",
      "position": 1,
      "confidence": 0.9,
      "parentBeatName": "Development",
      "parentBeatSlug": "development"
    }
  ],
  "loops": [
    {
      "to": 5,
      "from": 3,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "d04e1a2b-7f26-4209-a46d-e9bd450118e2",
      "evidence": "Slides 3-5 imply the cost of ineffective treatment",
      "position": 0,
      "objective": "Highlight the cost of inaction",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.8,
      "description": "Quantify what happens if the audience does nothing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}